4 research associate in implementation of signal processing and machine learning algorithms on fpgas jobs found

This Research Associate position will contribute to the COG-MHEAR (cogmhear.org) project within the Institute for Micro and Nano Systems at the University of Edinburgh, which is funded by  Engineering and Physical Science Research Council and in collaboration with colleagues at Universities of Edinburgh Napier, Glasgow, Nottingham, Wolverhampton, Manchester. Your skills and attributes for success: Strong background in FPGA based high performance circuit implementation.  Strong background and experience in the implementation of audio and video based signal processing on FPGAs.  Experience in the implementation of AI and machine learning algorithms.  Independently driven and able to work with a multi-disciplinary team.  Ability to meet strict deadlines.  A full list of main responsibilities and the knowledge, skills and experience required for the role can be found in the full job description -...

This Research Associate position will contribute to the COG-MHEAR (cogmhear.org) project within the Institute for Micro and Nano Systems at the University of Edinburgh, which is funded by  Engineering and Physical Science Research Council and in collaboration with colleagues at Universities of Edinburgh Napier, Glasgow, Nottingham, Wolverhampton, Manchester. Your skills and attributes for success: Strong background in FPGA based high performance circuit implementation.  Strong background and experience in the implementation of audio and video based signal processing on FPGAs.  Experience in the implementation of AI and machine learning algorithms.  Independently driven and able to work with a multi-disciplinary team.  Ability to meet strict deadlines.  A full list of main responsibilities and the knowledge, skills and experience required for the role can be found in the full job...

This Research Associate position will contribute to the COG-MHEAR (cogmhear.org) project within the Institute for Micro and Nano Systems at the University of Edinburgh, which is funded by  Engineering and Physical Science Research Council and in collaboration with colleagues at Universities of Edinburgh Napier, Glasgow, Nottingham, Wolverhampton, Manchester. Your skills and attributes for success: Strong background in FPGA based high performance circuit implementation.  Strong background and experience in the implementation of audio and video based signal processing on FPGAs.  Experience in the implementation of AI and machine learning algorithms.  Independently driven and able to work with a multi-disciplinary team.  Ability to meet strict deadlines.  A full list of main responsibilities and the knowledge, skills and experience required for the role can be found in the full job description -...

This Research Associate position will contribute to the COG-MHEAR (cogmhear.org) project within the Institute for Micro and Nano Systems at the University of Edinburgh, which is funded by  Engineering and Physical Science Research Council and in collaboration with colleagues at Universities of Edinburgh Napier, Glasgow, Nottingham, Wolverhampton, Manchester. Your skills and attributes for success: Strong background in FPGA based high performance circuit implementation.  Strong background and experience in the implementation of audio and video based signal processing on FPGAs.  Experience in the implementation of AI and machine learning algorithms.  Independently driven and able to work with a multi-disciplinary team.  Ability to meet strict deadlines.  A full list of main responsibilities and the knowledge, skills and experience required for the role can be found in the full job...